Triple
T19105473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Computer Science and Engineering Department, Samrat Ashok Technological Institute |
E467641
|
entity |
| Predicate | typicalCourseTopics |
P43765
|
FINISHED |
| Object | programming |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: programming | Statement: [Computer Science and Engineering Department, Samrat Ashok Technological Institute, typicalCourseTopics, programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCourseTopics Context triple: [Computer Science and Engineering Department, Samrat Ashok Technological Institute, typicalCourseTopics, programming]
-
A.
typicalCourseTopic
chosen
Indicates that a given topic is commonly or characteristically covered as part of a particular course.
-
B.
typicalCourse
Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
-
C.
notableCourseType
Indicates that a course has a particular notable or distinguished type or classification (e.g., flagship, honors, or otherwise specially recognized).
-
D.
hasTypicalCourse
Indicates that there is a characteristic or commonly observed progression, sequence, or development pattern associated with the subject.
-
E.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e37159688190a6896d9730214ba8 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.